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An Introduction to Exponential Random Graph Modeling

An Introduction to Exponential Random Graph Modeling by Jenine K. Harris
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This volume introduces the basic concepts of Exponential Random Graph Modeling (ERGM), gives examples of why it is used, and shows the reader how to conduct basic ERGM analyses in their own research. ERGM is a statistical approach to modeling social network structure that goes beyond the descriptive methods conventionally used in social network analysis. Although it was developed to handle the inherent non-independence of network data, the results of ERGM are interpreted in similar ways to logistic regression, making this a very useful method for examining social systems. Recent advances in statistical software have helped make ERGM accessible to social scientists, but a concise guide to using ERGM has been lacking. An Introduction to Exponential Random Graph Modeling, by Jenine K. Harris, fills that gap, by using examples from public health, and walking the reader through the process of ERGM model-building using R statistical software and the statnet package.
SAGE Publications; December 2013
136 pages; ISBN 9781483322056
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Title: An Introduction to Exponential Random Graph Modeling
Author: Jenine K. Harris
 
ISBNs
9781452220802
9781483303437
9781483322056